[Bugfix] Fix models and tests for transformers v5 (#33977)

Signed-off-by: raushan <raushan@huggingface.co>
Signed-off-by: Raushan Turganbay <raushan.turganbay@alumni.nu.edu.kz>
Signed-off-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
Co-authored-by: Cyrus Leung <cyrus.tl.leung@gmail.com>
Co-authored-by: Harry Mellor <19981378+hmellor@users.noreply.github.com>
This commit is contained in:
Raushan Turganbay
2026-02-06 14:47:41 +01:00
committed by GitHub
parent 51a7bda625
commit 85ee1d962b
12 changed files with 70 additions and 55 deletions

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@@ -236,7 +236,7 @@ class AudioFlamingo3ProcessingInfo(BaseProcessingInfo):
)
def get_supported_mm_limits(self) -> Mapping[str, int | None]:
return {"audio": None}
return {"audio": 1}
class AudioFlamingo3DummyInputsBuilder(

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@@ -692,7 +692,7 @@ class HunYuanVLDummyInputsBuilder(BaseDummyInputsBuilder[HunYuanVLProcessingInfo
def get_dummy_text(self, mm_counts: Mapping[str, int]) -> str:
num_images = mm_counts.get("image", 0)
hf_processor = self.info.get_hf_processor()
hf_processor = self.info.get_hf_processor(typ=HunYuanVLProcessor)
image_token: str = hf_processor.image_token
return image_token * num_images

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@@ -13,7 +13,7 @@ import torch.nn as nn
import torch.nn.functional as F
from einops import rearrange
from transformers.image_processing_utils import BatchFeature
from transformers.tokenization_utils import TensorType
from transformers.utils import TensorType
from typing_extensions import TypedDict, Unpack
from vllm.config import VllmConfig

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@@ -230,8 +230,8 @@ class MiniMaxVL01ForConditionalGeneration(nn.Module, SupportsMultiModal, Support
self.vision_feature_layer = config.vision_feature_layer
self.vocab_size = config.text_config.vocab_size
self.pad_token_id = -1
if self.config.pad_token_id is not None:
self.pad_token_id = self.config.pad_token_id
if self.config.text_config.pad_token_id is not None:
self.pad_token_id = self.config.text_config.pad_token_id
self.make_empty_intermediate_tensors = (
self.language_model.make_empty_intermediate_tensors